Machine Learning-Driven Radiomics Analysis for Distinguishing Mucinous and Non-Mucinous Pancreatic Cystic Lesions: A Multicentric Study by Neus Torra-Ferrer, Maria Montserrat Duh, Queralt Grau-Ortega, Daniel Cañadas-Gómez, Juan Moreno-Vedia, Meritxell Riera-Marín, Melanie Aliaga-Lavrijsen, Mateu Serra-Prat, Javier García López, Miguel Ángel González-Ballester, Maria Teresa Fernández-Planas, Júlia Rodríguez-Comas

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Deepest Limits on Scattered Light Emission from the Epsilon Eridani Inner Debris Disk with HST/STIS by Sai Krishanth P. M., Ewan S. Douglas, Ramya M. Anche, Justin Hom, Kerri L. Cahoy, John H. Debes, Hannah Jang-Condell, Isabel Rebollido, Bin B. Ren, Christopher C. Stark, Robert Thompson, Yinzi Xin

“…Epsilon Eridani is one of the first debris disk systems detected by the Infrared Astronomical Satellite. However, the system has thus far eluded detection in scattered light with no components having been directly imaged. …”
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Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study by Elnaz Azmi, Khadijeh Alibabaei, Valentin Kozlov, Tjerk Krijger, Gabriele Accarino, Sakina-Dorothée Ayata, Amanda Calatrava, Marco Mariano De Carlo, Wout Decrop, Donatello Elia, Sandro Luigi Fiore, Marco Francescangeli, Jean-Olivier Irisson, Rune Lagaisse, Martin Laviale, Antoine Lebeaud, Carolin Leluschko, Enoc Martínez, Germán Moltó, Igor Ruiz Atake, Antonio Augusto Sepp Neves, Damian Smyth, Jesús Soriano-González, Muhammad Arabi Tayyab, Vanessa Tosello, Álvaro López García, Dick Schaap, Gergely Sipos

“…One of the objectives of this project is to provide an AI platform that leverages AI-powered tools to improve the processing and analysis of imaging data from marine and freshwater ecosystems, contributing to the study of the health of oceans, seas, coasts, and inland waters. …”
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Identification and purification of a novel bacteriophage T7 endonuclease from the Kogelberg Biosphere Reserve (KBR) biodiversity hotspot by Priyen Pillay, Maabo Moralo, Sibongile Mtimka, Taola Shai, Kirsty Botha, Lusisizwe Kwezi, Tsepo L. Tsekoa

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Development of an integrated testing and calibration approach for fused filament fabrication of polylactic acid by Hao He, Zhi Zhu, Yixia Zhang, Zhongpu Zhang, Tosin Famakinwa, Richard (Chunhui) Yang

“…The Fused Filament Fabrication (FFF) technique faces challenges in mitigating defects generated in the printing process for the quality assurance of final products. …”
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Lung cancer screening experiences among patients with a smoking history and primary care providers: a qualitative study by Sandra J. Japuntich, Nathalia Gutierrez Sacasa, Sarah Cameron, Brittany Balletto, Olive Tambou, Gabriel Berman, Kristen Walaska, Melissa A. Clark, Michael P. Carey, Andrew M. Busch, Rochelle Rosen

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Enhancing weld quality of novel robotic-arm arc welding: Vision-based monitoring, real-time control seam tracking by Aman Sharma, Rishabh Chaturvedi, Kamal Sharma, Saad Abrahim Binhowimal, Jayant Giri, T. Sathish

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All the Single Ladies? Detector finds, dispersed data and suboptimal sources in the study of Viking Age metalwork by Pieterjan Deckers

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Knowledge Model Based Intelligent Visual Identification of Catenary Defects by TANG Peng, JIN Weidong, ZHANG Xingbin, ZHANG Zhijun, XING Kaipeng, HUO Zhihao

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High-Performance Data Acquisition for Fourier Transform Mass Spectrometry by Anton N. Kozhinov, Konstantin O. Nagornov, Yury O. Tsybin

“…High-performance data acquisition and processing (DAQ) systems are characterized by their ability to capture, process, and transmit data with high speed, precision, and efficiency. …”
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An NIR-Based Probe for Submilligram Measurement of Solid Contaminants in Gas Pipelines by Mahmoud Meribout, Esra Al Hosani, Mohit Kalra, Imran Saeid

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SILF Dataset: Fault Dataset for Solar Insecticidal Lamp Internet of Things Node by Xing Yang, Liyong Zhang, Lei Shu, Xiaoyuan Jing, Zhijun Zhang

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Transforming Sketches of UML Use Case Diagrams to Models by Mantas Razinskas, Benas Miliunas, Mantas Jurgelaitis, Lina Ceponiene, Lina Bisikirskiene

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Innovative EMD-Based Technique for Preventing Coffee Grinder Damage from Stones with FPGA Implementation by Chiang Liang Kok, Yuwei Dai, Yit Yan Koh, Maoyang Xiang, Tee Hui Teo

“…However, before coffee beans can be brewed into a drinkable form, they undergo several critical stages, including harvesting, processing, roasting, grinding, and extraction. During the processing and roasting phases, a significant challenge arises: stones that are similar in size and shape to coffee beans can inadvertently mix into the batch. …”
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Residual Nitrite, Nitrate, and Volatile N-Nitrosamines in Organic and Conventional Ham and Salami Products by Kathrine H. Bak, Susanne Bauer, Christoph Eisenreich, Peter Paulsen

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Low-Temperature Fabrication of Stable Black-Phase CsPbI3 Perovskite Flexible Photodetectors Toward Wearable Health Monitoring by Yingjie Zhao, Yicheng Sun, Chaoxin Pei, Xing Yin, Xinyi Li, Yi Hao, Mengru Zhang, Meng Yuan, Jinglin Zhou, Yu Chen, Yanlin Song

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Multi-factor person entity relation extraction model based on distant supervision by Yangchen HUANG, Yan JIA, Liang GAN, Jing XU, Jiuming HUANG, Zhonghe HE

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Framing Social Movements on Social Media by Julia Mendelsohn, Maya Vijan, Dallas Card, Ceren Budak

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AraEyebility: Eye-Tracking Data for Arabic Text Readability by Ibtehal Baazeem, Hend Al-Khalifa, Abdulmalik Al-Salman

“…Research in cognitive psychology, which uses behavioral data such as eye-tracking and electroencephalogram signals, has shown its effectiveness in detecting cognitive activities that correlate with text difficulty during reading. …”
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Artificial intelligence in acupuncture: bridging traditional knowledge and precision integrative medicine by Guo-Liang Hou, Bao-Qiang Dong, Ben-Xing Yu, Jian-Yu Dai, Xing-Xing Lin, Ze-Zhong Cheng

“…This review synthesizes recent advances in AI-enabled outcome prediction techniques, encompassing deep learning, meta-analytic modeling, natural language processing (NLP), computer vision, and neuroimaging-based analysis. …”
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